Mu
Mudra – Make your startup rank in ChatGPT/Perplexity and LLMs
Hacker NewsMudra – Make your startup rank in ChatGPT/Perplexity and LLMs
Built Mudra to see if/where LLMs cite your company, and what to fix to get cited more.
Share cardActual performance
2points
2comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: perplexity, chatgpt · Missing: mac, agents, macos85%85% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting45%45% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency38%38% predicted probability of success on BetaList, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal31%31% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released29%29% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive28%28% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue22%22% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Mu
Mudra – Make your startup easier for ChatGPT/Perplexity to cite35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Mudra – Make your startup easier for ChatGPT/Perplexity to cite
Hacker News1
Safevibing83%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Rank in chatgpt, perplexity & gemini
Product Hunt+7Fr
Free tool to check how ChatGPT and Perplexity rank your brand16%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Free tool to check how ChatGPT and Perplexity rank your brand
Hacker News2Astartup42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Make your startup an A startup with the A* Startup & IMUL
Indie HackersadvertisingI'
I'm helping founders rank #1 on ChatGPT, Perplexity, Grok and other LLM26%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I'm helping founders rank #1 on ChatGPT, Perplexity, Grok and other LLM
Hacker News1Au
Author Rank21%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Author Rank
Hacker News2BlogSEO75%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Rank #1 on Google & ChatGPT on Autopilot
Indie Hackerscommitment-full-timeSE
SEO for ChatGPT, Perplexity and Gemini42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
SEO for ChatGPT, Perplexity and Gemini
Hacker News2GP
GPTCache – Redis for LLMs69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
GPTCache – Redis for LLMs
Hacker News7pr
prompttest – pytest for LLMs34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
prompttest – pytest for LLMs
Hacker News2